TY - BOOK ID - 146292594 TI - Advances in Evaporation and Evaporative Demand AU - Tegos, Aristoteles AU - Malamos, Nikolaos PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - evapotranspiration KW - machine learning KW - local KW - spatial KW - subhumid climate KW - agricultural drought KW - drought characteristics KW - evapotranspiration deficit index KW - parameter sensitivity KW - temporal scale sensitivity KW - water stress anomaly KW - interception KW - linear storage model KW - evaporation KW - cover crop KW - water balance KW - faba bean KW - GK2A/AMI KW - artificial neural network KW - Korean Peninsula KW - CWSI KW - UAV KW - remote sensing KW - micrometeorological data KW - spatial IRT measurements KW - crop irrigation scheduling and management KW - infrared radiometer sensors KW - real-time data analysis KW - water reservoir KW - regression KW - observed data KW - ERA5-Land data KW - R language KW - precipitation KW - drought KW - Mann-Kendall KW - trend analysis KW - actual evapotranspiration KW - potential evapotranspiration KW - reference evapotranspiration KW - evaporation paradox KW - global dimming KW - wind stilling KW - forest fires KW - groundwater KW - stochastic simulation KW - marginal structure KW - long-range dependence KW - Hurst-Kolmogorov dynamics KW - RASPOTION KW - parametric model KW - hydrological calibration KW - evapotranspiration estimation KW - urban rain gardens KW - lysimeters KW - evapotranspiration models KW - evapotranspiration KW - machine learning KW - local KW - spatial KW - subhumid climate KW - agricultural drought KW - drought characteristics KW - evapotranspiration deficit index KW - parameter sensitivity KW - temporal scale sensitivity KW - water stress anomaly KW - interception KW - linear storage model KW - evaporation KW - cover crop KW - water balance KW - faba bean KW - GK2A/AMI KW - artificial neural network KW - Korean Peninsula KW - CWSI KW - UAV KW - remote sensing KW - micrometeorological data KW - spatial IRT measurements KW - crop irrigation scheduling and management KW - infrared radiometer sensors KW - real-time data analysis KW - water reservoir KW - regression KW - observed data KW - ERA5-Land data KW - R language KW - precipitation KW - drought KW - Mann-Kendall KW - trend analysis KW - actual evapotranspiration KW - potential evapotranspiration KW - reference evapotranspiration KW - evaporation paradox KW - global dimming KW - wind stilling KW - forest fires KW - groundwater KW - stochastic simulation KW - marginal structure KW - long-range dependence KW - Hurst-Kolmogorov dynamics KW - RASPOTION KW - parametric model KW - hydrological calibration KW - evapotranspiration estimation KW - urban rain gardens KW - lysimeters KW - evapotranspiration models UR - https://www.unicat.be/uniCat?func=search&query=sysid:146292594 AB - The importance of evapotranspiration is well-established in different disciplines such as hydrology, agronomy, climatology, and other geosciences. Reliable estimates of evapotranspiration are also vital to develop criteria for in-season irrigation management, water resource allocation, long-term estimates of water supply, demand and use, design and management of water resources infrastructure, and evaluation of the effect of land use and management changes on the water balance. The objective of this Special Issue is to define and discuss several ET terms, including potential, reference, and actual (crop) ET, and present a wide spectrum of innovative research papers and case studies. ER -